**Job Summary:** This lead validator position will lead model validation related responsibilities in the independent validation of BSA/AML models, including (but not limited to) Transaction Monitoring, Customer Risk Scoring, and OFAC/Sanctions Screening systems, as well as fraud models. *Location for this position is in St Petersburg, FL, New York City or Pittsburgh, PA. ** Will not be able to provide visa sponsorship. **Essential Duties and Responsibilities:** + Own, develop and manage working relationship with BSA/AML and fraud model stakeholders + Monitor and keep abreast of changes in AML and fraud related regulations and MRM policies. + Develop validation plans for BSA/AML and fraud-related models. + Lead, perform and review model validations for BSA/AML and fraud-related models, including model policies and procedures, conceptual soundness, assumptions/limitation, output analysis and ongoing monitoring metrics. + Complete model validations per validation plan. + Maintain organized tracking of validation findings, issues, and remediations. + Perform BSA/AML and fraud related model ongoing monitoring, annual review and other model independent review tasks. + Manage junior validators **Knowledge, Skills, and Abilities:** Knowledge of: + BSA/AML and fraud models, regulatory requirements, including the Bank Secrecy Act, US PATRIOT Act, and OFAC. + Model Risk Management regulatory guidance SR 11-7 and OCC 2011/12. + Statistics and other quantitative fields and data validation principles. + The role of models in financial crime detection and prevention. Skill in: + Microsoft Excel and Word for documentation, data analysis, and reporting. + Clear written and verbal communication, especially in organizing findings and writing summaries. + Analytical thinking, attention to detail, and structured problem-solving. + Using data analysis programs such as SQL, R, or Python for data validation and analysis. Ability to: + Understand how BSA/AML and fraud models operate and produce outputs. + Learn regulatory expectations and apply them to model validation work. + Collaborate with cross-functional teams in Financial Crimes, Risk, Compliance. + Follow structured validation procedures and meet project deadlines. + Document findings in a clear, professional language. **Educational/Previous Experience Requirements:** + Bachelor’s degree in Finance, Economics, Mathematics, Data Science, Computer Science, or a related field. + 5-10 years of professional experience in AML and Fraud model development and model validation, or work experience related to financial crime, data analysis, compliance + Proficient and strong understanding of risk management, data analytics, audit, or related field. + professional development, including certifications such as CAMS is encouraged.